Modeling Volume-Speed-Density Relationship on the Cibubur Transyogi Road Based on Traffic Behavior During Peak Hours Activity

  • Juang Akbardin Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Dadang Mohamad Universitas Pendidikan Indonesia, Bandung, Indonesia
  • A. Z. Rahmadani Universitas Pendidikan Indonesia, Bandung, Indonesia
Keywords: Volume-Speed-Density, Traffic Behavior, Peak Hour Activity.

Abstract

Transyogi road Cibubur is the main road connecting the activity zone in the city of Bogor. This research models the Volume - speed - density relationship model to determine traffic behavior caused by the activity system in that zone. The research methodology used is quantitative descriptive research modeled using mathematical equations. The inter-city traffic movement that occurs on this section causes the traffic flow situation to become unstable, plus the large rate of increase in traffic and the number of vehicles in the area means it is necessary to carry out planning to anticipate future traffic movement needs. A macroscopic approach can show overall traffic flow. This approach is described by 3 parameters, namely traffic flow (volume), density and speed. The Greenshield, Greenberg, and Underwood models can describe the relationship mathematically between these three parameters. The results of the research show that the flow characteristics at peak hour conditions are shown in the Underwood model with the model significance analysis value on Friday having a value of 0.940. For the model equation between Speed and Density we get S = 54.1 Exp (–D/370.15) Volume and Density get V = 54.1 D Exp (–D/370.15) Volume and Speed get V = 370.15 S Ln (54.1/S). The volume - speed - density relationship model shows that traffic in urban areas has characteristics determined by the zones built from the cover area. So, controlling traffic volume during peak hours in this zone must be controlled by adjusting the activity system on the road corridors that are traversed.

References

Akbardin, J., Parikesit, D., Riyanto, B., & Mulyono, A. T. (2018). Development of gravity theory application in the internalregional inter-zone commodity movement distribution with the origin zone movement generation boundary

Akbardin, J., Parikesit, D., Riyanto, B., & Mulyono, A. T. (2018). The Influence of Freight Generation Production Characteristics of the Internal-Regional Zone Commodities on Sustainable Freight Transportation Highway Network System. Matec Web Conference.

Akbardin, J., Parikesit, D., Riyanto, B., & Mulyono, A. T. (2018). The Influence of Highway Transportation Infrastructure Condition Toward Commodity Production Generation for the Resilience Needs at Regional Internal Zone. E3S Web Conference

Akbardin.J, Parikesit D, Riyanto B, Mulyono AT (2018) The distribution system simulation model of each zone freight transportation Akbardin J (2013). Study of the relationship between volume, speed and traffic density. Education, 2, 16–27.

Khisty, C. J., & Lall, B. K. (2005). Transportation Engineering an Introduction 3rd Edition Trans. Fidel Miro.

Morlok, E. K. (1991). Introduction to Transportation Engineering and Planning. Jakarta: Erlangga.

West Java Open Data. (2021). Population Density Based on Regency/City in West Java. Department of Population and Civil Registration. https://opendata.jabarprov.go.id/id/dataset/kepadatan-penresiden-based-kabupatenkota-di-jawa-barat

West Java Open Data. (2023). Number of Vehicles Based on Vehicle Type in West Java. Regional Revenue Agency. https://opendata.jabarprov.go.id/id/dataset/nomor-kendaraan-based-Jenis-kendaraan-FUNCTION-KENDARAAN-dan-branch-peanggaran-di-jawa-barat

Putranto, L. S. (2008). Traffic Engineering. Jakarta: Index.

Saputra, B., & Savitri, D. (2021). Analysis of the Relationship between Volume, Speed and Traffic Density Based on the Greenshield, Greenberg and Underwood Model. Journal of Infrastructure & Facilities Asset Management, 5(1), 43–60. https://doi.org/10.12962/j26151847.v5i1.8742

Sholahudin, F., & Nurmayadi, D. (2021). Analysis of Traffic Flow Characteristics Using the Greenshield, Greenberg and Underwood Models on the KHZ Musthofa Road, Tasikmalaya City. Journal of Planning and Civil Engineering, 4(2), 77–83.

Suryawan, I., Negara, I. N. W., & Wikrama, A. (2015). Selecting a Model for the Relationship Between Volume, Speed and Density of Inner City Roads (Case Study: Jalan Ahmad Yani, Denpasar). Civil Engineering Scientific Journal, 19(1).

Sugiyono, D. (2013). Educational research methods include quantitative, qualitative and R&D approaches.

Sulistyowati, A., & Muazansyah, I. (2019). Transportation Modeling is the most effective and efficient medium that can combine all these factors and the output can be used to solve transportation problems both now and in the future. IAPA Proceedings Conference, 152–165.

Tamin, O. Z. (2000). Modeling and Transportation Planning. Bandung: ITB.

Timpal, G. S. J., Sendow, T. K., & Rumaya, A. L. E. (2018). Capacity Analysis Based on Greenshield, Greenberg and Underwood Modeling and Road Performance Analysis on the Sam Ratulangimanado Road Section. Civil Statics, 6(8), 2337–6732.

Wibisono, Y. (2005). Statistical Methods. Yogyakarta: Gadjah Mada University Press.

Published
2023-10-13
How to Cite
Akbardin, J., Mohamad, D., & Rahmadani, A. Z. (2023). Modeling Volume-Speed-Density Relationship on the Cibubur Transyogi Road Based on Traffic Behavior During Peak Hours Activity . International Journal of Science and Society, 5(4), 842-850. https://doi.org/10.54783/ijsoc.v5i4.855